Archana Maurya

Data Analyst

Howland und Co. Xperts GmbH•  July 2024 - December 2024•  Melsungen, Germany

- Processing and analysing large amounts of data to support data-driven decisions - Modernisation of existing systems through the migration of COBOL/PERL scripts to Python - Management of software licences and ensuring compliance with regulatory guidelines

Master Thesis Student

Continental Reifen Deutschland GmbH•  March 2023 - October 2023•  Hannover, Germany

- Topic: 'Machine Learning in Tire Component Manufacturing to improvise geometry of final product' - Explored cap ply production in tire manufacturing for Master’s thesis - Gained insights into machine performance through rigorous data analysis - Utilized Machine Learning and explainable AI methodologies to study parameters of the cap strip line - Formulated recommendations for enhancing production quality based on the analysis

Data Analyst Intern

Continental Reifen Deutschland GmbH•  November 2022 - March 2023•  Hannover, Germany

- Extracted and analyzed data for tire manufacturing machines - Identified patterns, trends, and anomalies through in-depth analysis - Collaborated with process engineers to address performance issues and enhance operational efficiency - Presented clear visualizations and concise reports to stakeholders - Streamlined data collection and processing, improving data quality and accuracy

Teaching Assistant

Leuphana University•  November 2021 - March 2022•  Lüneburg, Germany

- Python Tutor at DataX, a university-incubated initiative promoting data literacy among Bachelor students - Organized and led student groups, offering guidance in grasping programming assignments - Emphasized teaching Python fundamentals, data analysis, and the art of storytelling via data visualization - Key contributor in mentoring students through their final data-based projects, ensuring the practical application of acquired skills

Data Analyst

REIN Labs LLP•  December 2017 - August 2019•  Mumbai, India

- Involved in data management for a clothing and accessories e-commerce platform - Cataloged, processed, and validated data to enhance product information quality - Tracked daily inputs and generated comprehensive reports for data analysis - Ensured effective communication with vendors and clients for seamless coordination and timely deliveries.